Azure logfile analyzer - can be used to fetch WADLogs table from windows azure platform and push to elasticsearch.
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Azure Logfile Analyzer

Azure logfile analyzer helps you to easy visualize & analyze your Azure logfiles.

The logs from azure will be parsed and stored in ElasticSearch.


  • Java >= 1.7
  • Azure Storage Account


The easiest method is to download the latest binary distribution, insert your azure storage account credentials into the config file and start the applicaiton.

1. Download binary distribution

Download latest release

2. Unzip the file

Unzip the distribution


3. Edit the config file

Edit the config file with your azure storage account credentials (can be found at Windows Azure Management Portal). You can find the config file at conf/

Name Description Required?
accountName.1 The name of the azure storage X
accountKey.1 The primary access key of the azure storage X
pollingIntervalMinutes.1 How often the azure storage will be polled in minutes (Default: 2 minutes) -
maxLogDays.1 The number of days in the past from which logs will be polled (Default: 10 days) -
fetchPerformanceCounters.1 True, to enable fetching of performance counters (WADPerformanceCountersTable) -

You can define multiple accounts by increasing the number at the end of a property:


4. Run the application

The simplest way to start the application is by executing the following command

java -jar alfa.jar

Run as service

If you want to run Alfa in the background (recommended) you can start one of the service wrappers for your operating system. In the folder /bin/ there are folders for different operating systems.

  • Linux: Start the application with a shell ./bin/
  • Windows: First install the service with InstallService.bat, then start the service Alfa from the service manager.

What's next?

As alfa is storing the azure logfiles into ElasticSearch you can do whatever you want with your data in ElasticSearch. For example:

  • Visualize your logfiles with Kibana
  • Browse through your data with elasticsearch-head
  • Access the data directly in ElasticSearch through the API

Alfa is storing your logfiles in a Logstash format. That means that logfiles are stored in an index grouped by day (logs-YYYY.MM.DD).


You can build the project on your own by cloning it and building with maven.

Clone the project:

git clone

Build the project:

mvn clean package assembly:single



  • Still compatible with previous Alfa versions < 1.0
  • Usage of ElasticSearch 1.5.2
  • Support for Azure SDK > 2.5
  • Support for Kibana 4.0
  • Formatted Message field supports active placeholder replacement (for Azure SDK > 2.5)
  • Performance counter fetching from Azure